At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.
We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge-sharing events and a collaborative, inclusive environment that values work-life balance and professional growth.
We are seeking a Senior AI Engineer to be part of a fast-pacing team, to create new customer growth.
Expect end‑to‑end ownership - rapid experimentation, fast shipping, and leaning in wherever the work takes you, beyond your job title. If you're ambitious, hard‑working, and excited to build 0→1 against tall ambitions, you'll thrive here.
Design and ship production-grade LLM systems and shared platform capabilities that power experiences for millions, solving cross-cutting pain points with smart build‑vs‑buy decisions. You'll work end‑to‑end - from rapid prototypes to production code - accelerating GenAI use cases across the business.
While existing knowledge is valuable, a strong ability to learn quickly and apply new skills effectively is essential. The ideal candidate will be solution-oriented, eager to stay current with the latest developments, and comfortable in a fast-paced environment with ample room for creativity and problem-solving.
- Proven experience building and deploying machine learning systems beyond prototyping.
- Understanding of LLMs and emerging AI Engineering system design patterns and challenges.
- Ability to make well-reasoned decisions grounded in technical understanding and real-world constraints.
- Confidence engaging with other technical teams and running collaborative technical sessions.
- Familiarity with ML engineering practices and tools such as:
- Experiment tracking and reproducibility
- Model versioning and lifecycle management
- Robust statistical evaluation
- Hands-on end-to-end software experience including
- System design
- Backend/APIs
- DevOps and Infrastructure
- Experience with Python and common Python libraries
- Familiarity with LLM frameworks such as LangGraph, LangChain
- Experience with NLP
Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.
We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.
We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
